Turning data into direction, and AI into action. I don’t just wrangle data — I unlock its purpose. I’m a data scientist and AI engineer with a product mindset and a delivery-first approach. Whether it’s building scalable ML pipelines, designing human-centric dashboards, or automating decisions with large language models, I’m driven by one goal: creating clarity that drives outcomes. Across healthcare, research, and enterprise tech, I’ve led and supported high-impact initiatives that turned complexity into confidence. What I’ve Delivered: ✓ NYU Langone Health – Automated reporting and streamlined data integration across 100+ departments, improving data quality and accelerating decisions. ✓ Toshiba – Reduced diagnostic false positives using ML-enhanced prediction models, improving clinical throughput. ✓ Stevens Institute – Applied NLP and analytics to map global research trends and simplify insights for academic strategy. Core Strengths: • Data science & AI development (Python, Scikit-learn, Azure ML, LLMs) • Storytelling through dashboards (Power BI, Microsoft Fabric) • Pipeline design & cloud architecture (SQL, Snowflake, MongoDB, Azure) • Cross-functional collaboration across engineering, business, and product • Agile delivery with a focus on clarity, reliability, and impact Guiding Principles: ✔ Simplicity beats complexity — the best insights are explainable ✔ I deliver on time, without surprises ✔ Technical doesn’t have to mean cold — empathy and logic go hand in hand ✔ I turn research into reality — balancing innovation with execution Beyond the Screen: Cyclist. Chess player. Reader. Curious mind. I enjoy deep dives into books like Thinking, Fast and Slow to sharpen my mental models and Neuromancer for perspective on where AI might take us. Let’s connect — over data, design, or your next big question.